DocumentCode :
2216521
Title :
A novel gesture based graphical authentication using bounding box and corner detection algorithm
Author :
Niranjana, G. ; Dawn, Kunal
Author_Institution :
Dept. of Comput. Sci. & Eng., SRM Univ., Chennai, India
fYear :
2012
fDate :
4-5 April 2012
Firstpage :
114
Lastpage :
119
Abstract :
In this paper we are going to present a new technique for authentication which is based on the tracking of mouse motions called mouse gestures. In general, a gesture is a sequence of interactions with the application, which represents one of the Specified symbols. A mouse gesture is a continuous, directed sequence of the mouse cursor movements with the clearly distinguished start and end. A set of gestures may be stored in a database called gesture classes for each user. Users are allowed to select a set of random images and a gesture for each image. Some tolerance level is also given for each gesture. When logging in if the user draws the correct gesture using mouse the user will be treated as an authenticated user. Mouse gestures are captured through bounding box and corner detection algorithms. This method provides more security than cued click points where the user is allowed to click on a particular point called pass point for authentication which is more vulnerable to hackers.
Keywords :
gesture recognition; image motion analysis; message authentication; object detection; object tracking; bounding box; corner detection algorithm; gesture based graphical authentication; gesture classes; mouse cursor movements; mouse gestures; mouse motion tracking; random images; Authentication; Educational institutions; bounding box; corner detection; cued click points; mouse gesture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Signal Processing (ICCSP), 2012 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-1621-7
Type :
conf
DOI :
10.1109/ICCSP.2012.6208405
Filename :
6208405
Link To Document :
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